Staff information

Biography

Dr. Hui Wan is a global climate modeler in the Atmospheric Sciences and Global Change Division. She started at PNNL as a Linus Pauling Distinguished Postdoctoral Fellow and then became a staff member. Her current research focuses primarily on identifying and reducing numerical artifacts in physics parameterizations and process interactions in global atmosphere models. She is also interested in computationally efficient methods for numerical experimentation and model evaluation. Dr. Wan is a member of the Organizing Committee for the workshop series on Physics Dynamics Coupling in Weather and Climate Models.

Prior to joining PNNL, Dr. Wan was a core member of the ICON group at the Max Planck Institute for Meteorology in Germany where she was responsible for developing a hydrostatic atmospheric dynamical core on triangular grids. During the earlier years of her graduate study at the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences, she developed the first version of the climate model GAMIL using a finite-difference dynamical core of IAP's and the physics parameterizations from the NCAR CAM2 model.

Research Interests

• Atmosphere modeling
• Numerical methods for dynamical core and physics parameterization
• Idealized test cases
• Atmospheric model evaluation

Education and Credentials

• Ph.D. (summa cum laude), Meteorology, Max Planck Institute for Meteorology and University of Hamburg, Germany
• B.S. (with distinction), Meteorology, Nanjing Institute of Meteorology, China

Affiliations and Professional Service

• Member of the American Geophysical Union
• Member of the American Meteorological Society
• Member of the Society for Industrial and Applied Mathematics

Awards and Recognitions

• Editor's Citation for Excellence in Refereeing for Journal of Advances in Modeling Earth Systems (JAMES), 2017
• New PI Award, Pacific Northwest National Laboratory, 2017
• Thought Leadership Award, Pacific Northwest National Laboratory, 2016
• Associate Editor of Monthly Weather Review, 2014
• Outstanding Performance Award, Pacific Northwest National Laboratory, 2014
• Linus Pauling Distinguished Postdoctoral Fellow, Pacific Northwest National Laboratory, 2011-2014
• Award for outstanding poster at the World Climate Research Program Open Science Conference, 2011
• Otto Hahn Medal of the Max Planck Society, 2009
• Wladimir Peter Koppen Prize for Climate and Earth System Research, KlimaCampus, University of Hamburg, 2009
• Chinese Government Award for Outstanding Self-financed Students Abroad, 2007
• Excellent student award, Graduate School of the Chinese Academy of Sciences, 2002
• Excellent student awards, Nanjing Institute of Meteorology, 1997-2001

PNNL Publications

2024

• Qian Y., Z. Guo, V.E. Larson, L. Leung, W. Lin, P. Ma, and H. Wan, et al. 2024. "Region and cloud regime dependence of parametric sensitivity in E3SM Atmosphere Model." Climate Dynamics 62, no. 2:1517-1533. PNNL-SA-182222. doi:10.1007/s00382-023-06977-3
• Wan H., K. Zhang, C.J. Vogl, C. Woodward, R.C. Easter, P.J. Rasch, and Y. Feng, et al. 2024. "Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1), part I: dust budget analyses and the impacts of a revised coupling scheme." Geoscientific Model Development 17, no. 3:1387-1407. PNNL-SA-186099. doi:10.5194/gmd-17-1387-2024

2023

• Song X., G. Zhang, H. Wan, and S. Xie. 2023. "Incorporating the effect of large-scale vertical motion on convection through convective mass flux adjustment in E3SMv2." Journal of Advances in Modeling Earth Systems 15, no. 10:Art. No. e2022MS003553. PNNL-SA-188237. doi:10.1029/2022MS003553
• Zhang S., C.J. Vogl, V.E. Larson, Q.M. Bui, H. Wan, P.J. Rasch, and C. Woodward. 2023. "Removing numerical pathologies in a turbulence parameterization through convergence testing." Journal of Advances in Modeling Earth Systems 15, no. 5:Art. No. e2023MS003633. PNNL-SA-171844. doi:10.1029/2023MS003633

2022

• Lauritzen P.H., N.K. Kevllahan, T. Toniazzo, C.F. Eldred, T. Dubos, A. Gassmann, and V.E. Larson, et al. 2022. "Reconciling and improving formulations for thermodynamics and conservation principles in Earth System Models (ESMs)." Journal of Advances in Modeling Earth Systems 14, no. 9:Art. No. e2022MS003117. PNNL-SA-176991. doi:10.1029/2022MS003117
• Ma P., B.E. Harrop, V.E. Larson, R. Neale, R. Neale, A. Gettelman, and H. Morrison, et al. 2022. "Better calibration of cloud parameterizations and subgrid effects increases the fidelity of E3SM Atmosphere Model version 1." Geoscientific Model Development 15, no. 7:2881-2916. PNNL-SA-166161. doi:10.5194/gmd-15-2881-2022
• Salzmann M., S. Ferrachat, C. Tully, S. Muench, D. Watson-Parris, D. Neubauer, and C. Siegenthaler-Le Drian, et al. 2022. "The global atmosphere-aerosol model ICON-A-HAM2.3 - Initial model evaluation and effects of radiation balance tuning on aerosol optical thickness." Journal of Advances in Modeling Earth Systems 14, no. 4:e2021MS002699. PNNL-SA-170604. doi:10.1029/2021MS002699
• Wan H., K. Zhang, P.J. Rasch, V.E. Larson, X. Zeng, S. Zhang, and R. Dixon. 2022. "CondiDiag 1.0: A flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM)." Geoscientific Model Development 15, no. 8:3205-3231. PNNL-SA-167080. doi:10.5194/gmd-15-3205-2022
• Zhang K., W. Zhang, H. Wan, P.J. Rasch, S.J. Ghan, R.C. Easter, and X. Shi, et al. 2022. "Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities." Atmospheric Chemistry and Physics 22, no. 13:9129-9160. PNNL-SA-169371. doi:10.5194/acp-22-9129-2022
• Zhang S., K. Zhang, H. Wan, and J. Sun. 2022. "Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects." Geoscientific Model Development 15, no. 17:6787-6816. PNNL-SA-169668. doi:10.5194/gmd-15-6787-2022

2021

• Wan H., and C. Woodward. 2021. "New efforts in improving numerical aspects of atmospheric physics parameterizations." GEWEX Quarterly 31, no. 4:9-10. PNNL-SA-166284.
• Wan H., S. Zhang, P.J. Rasch, V. Larson, X. Zeng, and H. Yan. 2021. "Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1." Geoscientific Model Development 14, no. 4:1921-1948. PNNL-SA-156407. doi:10.5194/gmd-14-1921-2021

2020

• Stinis P., H. Lei, J. Li, and H. Wan. 2020. "Improving solution accuracy and convergence for stochastic physics parameterizations with colored noise." Monthly Weather Review 148, no. 6:2251-2263. PNNL-SA-142475. doi:10.1175/MWR-D-19-0178.1
• Vogl C.J., H. Wan, S. Zhang, C. Woodward, and P. Stinis. 2020. "Improving time step convergence in an atmosphere model with simplified physics: using mathematical rigor to avoid nonphysical behavior in a parameterization." Journal of Advances in Modeling Earth Systems 12, no. 10:Article No. e2019MS001974. PNNL-SA-149966. doi:10.1029/2019MS001974
• Wan H., C. Woodward, S. Zhang, C.J. Vogl, P. Stinis, D. Gardner, and P.J. Rasch, et al. 2020. "Improving time step convergence in an atmosphere model with simplified physics: the impacts of closure assumption and process coupling." Journal of Advances in Modeling Earth Systems 12, no. 10:Article No. e2019MS001982. PNNL-SA-149970. doi:10.1029/2019MS001982

2019

• Golaz J., P.M. Caldwell, L. Van Roekel, M.R. Petersen, Q. Tang, J. Wolfe, and G.W. Abeshu, et al. 2019. "The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution." Journal of Advances in Modeling Earth Systems 11, no. 7:2089-2129. PNNL-SA-141816. doi:10.1029/2018MS001603
• Rasch P.J., S. Xie, P. Ma, W. Lin, H. Wang, Q. Tang, and S.M. Burrows, et al. 2019. "An Overview of the Atmospheric Component of the Energy Exascale Earth System Model." Journal of Advances in Modeling Earth Systems 11, no. 8:2377-2411. PNNL-SA-144927. doi:10.1029/2019MS001629
• Sarangi C.N., Y. Qian, K. Rittger, K.J. Bormann, Y. Liu, H. Wang, and H. Wan, et al. 2019. "Impact of light-absorbing particles on snow albedo darkening and associated radiative forcing over high-mountain Asia: high-resolution WRF-Chem modeling and new satellite observations." Atmospheric Chemistry and Physics 19, no. 10:7105-7128. PNNL-SA-146241. doi:10.5194/acp-19-7105-2019
• Sun J., K. Zhang, H. Wan, P. Ma, Q. Tang, and S. Zhang. 2019. "Impact of nudging strategy on the climate representativeness and hindcast skill of constrained EAMv1 simulations." Journal of Advances in Modeling Earth Systems 11, no. 12:3911-3933. PNNL-SA-149231. doi:10.1029/2019MS001831
• Zhang S., H. Wan, P.J. Rasch, B. Singh, V.E. Larson, and C. Woodward. 2019. "An objective and efficient method for assessing the impact of reduced-precision calculations on solution correctness." Journal of Advances in Modeling Earth Systems 11, no. 10:3131-3147. PNNL-SA-145080. doi:10.1029/2019MS001817

2018

• Dubey A., and H. Wan. 2018. "Methodology for Building Granular Testing in Multicomponent Scientific Software." In Proceedings of the International Workshop on Software Engineering for Science (SE4Science 2018), June 2, 2018, Gothenburg, Sweden, 9-15. New York, New York:ACM. PNNL-SA-132464. doi:10.1145/3194747.3194751
• Giorgetta M., R. Brokopf, T. Crueger, M. Esch, S. Fiedler, J. Helmert, and C. Hohenegger, et al. 2018. "ICON-A, the atmosphere component of the ICON Earth System Model. Part I: Model Description." Journal of Advances in Modeling Earth Systems 10, no. 7:1613-1637. PNNL-SA-134716. doi:10.1029/2017MS001242
• Gross M., H. Wan, P.J. Rasch, P.M. Caldwell, D.L. Williamson, D. Klocke, and C. Jablonowski, et al. 2018. "Physics-Dynamics Coupling in weather, climate and Earth system modesl: Challenges and recent progress." Monthly Weather Review 146, no. 11:3505-3544. PNNL-SA-137579. doi:10.1175/MWR-D-17-0345.1
• Gross M., H. Wan, P.J. Rasch, P.M. Caldwell, D.L. WIlliamson, D. Klocke, and C. Jablonowski, et al. 2018. "Physics-Dynamics Coupling in Weather, Climate, and Earth System Models: Challenges and Recent Progress." Monthly Weather Review 146, no. 11:3505-3544. PNNL-SA-115484. doi:10.1175/MWR-D-17-0345.1
• Liu Y., K. Zhang, Y. Qian, Y. Wang, Y. Zou, Y. Song, and H. Wan, et al. 2018. "Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles." Atmospheric Chemistry and Physics 18, no. 1:31-47. PNNL-SA-131476. doi:10.5194/acp-18-31-2018
• Qian Y., H. Wan, B. Yang, J. Golaz, B.E. Harrop, Z. Hou, and V.E. Larson, et al. 2018. "Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations." Journal of Geophysical Research: Atmospheres 123, no. 23:13046-13073. PNNL-SA-138521. doi:10.1029/2018JD028927
• Sakaguchi K., L. Leung, C.D. Burleyson, H. Xiao, and H. Wan. 2018. "Role of Troposphere-Convection-Land Coupling in the Southwestern Amazon Precipitation Bias of the Community Earth System Model version 1 (CESM1)." Journal of Geophysical Research: Atmospheres 123, no. 16:8374-8399. PNNL-SA-134715. doi:10.1029/2018JD028999
• Zhang K., P.J. Rasch, M. Taylor, H. Wan, L. Leung, P. Ma, and J. Golaz, et al. 2018. "Impact of numerical choices on water conservation in the E3SM Atmosphere Model Version 1 (EAM V1)." Geoscientific Model Development 11, no. 5:1971-1988. PNNL-SA-129738. doi:10.5194/gmd-11-1971-2018

2017

• Wan H., K. Zhang, P.J. Rasch, B. Singh, X. Chen, and J. Edwards. 2017. "A new and inexpensive non-bit-for-bit solution reproducibility test based on time step convergence (TSC1.0)." Geoscientific Model Development 10, no. 2:537-552. PNNL-SA-118076. doi:10.5194/gmd-10-537-2017

2016

• Lin G., H. Wan, K. Zhang, Y. Qian, and S.J. Ghan. 2016. "Can nudging be used to quantify model sensitivities in precipitation and cloud forcing?." Journal of Advances in Modeling Earth Systems 8, no. 3:1073-1091. PNNL-SA-116402. doi:10.1002/2016MS000659
• Zhang K., C. Zhao, H. Wan, Y. Qian, R.C. Easter, S.J. Ghan, and K. Sakaguchi, et al. 2016. "Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5." Geoscientific Model Development 9, no. 2:607-632. PNNL-SA-111502. doi:10.5194/gmd-9-607-2016

2015

• Wan H., P.J. Rasch, M. Taylor, and C. Jablonowski. 2015. "Short-term Time Step Convergence in a Climate Model." Journal of Advances in Modeling Earth Systems 7, no. 1:215-225. PNNL-SA-103971. doi:10.1002/2014MS000368
• Xiao H., W.I. Gustafson, S.M. Hagos, C. Wu, and H. Wan. 2015. "Resolution-dependent behavior of subgrid-scale vertical transport in the Zhang-McFarlane convection parameterization." Journal of Advances in Modeling Earth Systems 7, no. 2:537-550. PNNL-SA-103534. doi:10.1002/2014MS000356

2014

• Wan H., P.J. Rasch, K. Zhang, Y. Qian, H. Yan, and C. Zhao. 2014. "Short ensembles: An Efficient Method for Discerning Climate-relevant Sensitivities in Atmospheric General Circulation Models." Geoscientific Model Development 7, no. 5:1961-1977. PNNL-SA-101468. doi:10.5194/gmd-7-1961-2014
• Zhang K., H. Wan, X. Liu, S.J. Ghan, G.J. Kooperman, P. Ma, and P.J. Rasch, et al. 2014. "Technical Note: On the Use of Nudging for Aerosol-Climate Model Intercomparison Studies." Atmospheric Chemistry and Physics 14, no. 16:8631-8645. PNNL-SA-101696. doi:10.5194/acp-14-8631-2014

2013

• Wan H., M. Giorgetta, G. Zangl, M. Restelli, D. Majewski, L. Bonaventura, and K. Frohlich, et al. 2013. "The ICON-1.2 Hydrostatic Atmospheric Dynamical Core on Triangular Grids - Part 1: Formulation and Performance of the Baseline Version." Geoscientific Model Development 6, no. 3:735-763. PNNL-SA-92195. doi:10.5194/gmd-6-735-2013

2012

• Zhang K., D. O'Donnell, J. Kazil, P. Stier, S. Kinne, U. Lohmann, and S. Ferrachat, et al. 2012. "The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations." Atmospheric Chemistry and Physics 12, no. 19:8911-8949. PNWD-SA-9732. doi:10.5194/acp-12-8911-2012